Triple
T17015547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annyong Bluth |
E412810
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
Justin Lee
Justin Lee is an actor best known for playing the character Annyong Bluth on the television series "Arrested Development."
|
E1246728
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Justin Lee | Statement: [Annyong Bluth, portrayedBy, Justin Lee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Justin Lee Context triple: [Annyong Bluth, portrayedBy, Justin Lee]
-
A.
Jason Kim
Jason Kim is a film industry professional known for collaborating with acclaimed South Korean cinematographer Chung Chung-hoon.
-
B.
Jack Lee
Jack Lee was a British film director best known for his work on mid-20th-century dramas and war films.
-
C.
Kenton Lee
Kenton Lee is a natural language processing researcher best known for leading the development of ELMo contextual word embeddings at Allen Institute for AI.
-
D.
Alex S. Kim
Alex S. Kim is a screenwriter best known for his work on the family martial-arts comedy film "Three Ninjas Knuckle Up."
-
E.
Jason Wong
Jason Wong is a British actor known for his roles in film and television, including his appearance in Guy Ritchie's crime-comedy series "The Gentlemen."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Justin Lee Triple: [Annyong Bluth, portrayedBy, Justin Lee]
Generated description
Justin Lee is an actor best known for playing the character Annyong Bluth on the television series "Arrested Development."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Justin Lee Target entity description: Justin Lee is an actor best known for playing the character Annyong Bluth on the television series "Arrested Development."
-
A.
Jason Kim
Jason Kim is a film industry professional known for collaborating with acclaimed South Korean cinematographer Chung Chung-hoon.
-
B.
Jack Lee
Jack Lee was a British film director best known for his work on mid-20th-century dramas and war films.
-
C.
Kenton Lee
Kenton Lee is a natural language processing researcher best known for leading the development of ELMo contextual word embeddings at Allen Institute for AI.
-
D.
Alex S. Kim
Alex S. Kim is a screenwriter best known for his work on the family martial-arts comedy film "Three Ninjas Knuckle Up."
-
E.
Jason Wong
Jason Wong is a British actor known for his roles in film and television, including his appearance in Guy Ritchie's crime-comedy series "The Gentlemen."
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d47f198c8190b0473f638101f606 |
completed | April 18, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b4ba2a88190a49d355836ff1dcf |
completed | May 10, 2026, 11:56 p.m. |
| NEDg | Description generation | batch_6a011d5d720c8190ba6f7146a8a5f7f4 |
completed | May 11, 2026, 12:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a011dd998888190a60d3880fd5c20c2 |
completed | May 11, 2026, 12:07 a.m. |
Created at: April 10, 2026, 5:33 a.m.